GPT-3.5 Turbo 16k vs GPT-3.5 Turbo Instruct
| Signal | GPT-3.5 Turbo 16k | Delta | GPT-3.5 Turbo Instruct |
|---|---|---|---|
Capabilities | 50 | +17 | |
Pricing | 96 | -2 | |
Context window size | 67 | +10 | |
Recency | 0 | -- | |
Output Capacity | 60 | -- | |
| Overall Result | 2 wins | of 5 | 1 wins |
Score History
40
current score
Tied
right now
40
current score
GPT-3.5 Turbo 16k
OpenAI
GPT-3.5 Turbo Instruct
OpenAI
GPT-3.5 Turbo Instruct saves you $250.00/month
That's $3000.00/year compared to GPT-3.5 Turbo 16k at your current usage level of 100K calls/month.
| Metric | GPT-3.5 Turbo 16k | GPT-3.5 Turbo Instruct | Winner |
|---|---|---|---|
| Overall Score | 40 | 40 | -- |
| Rank | #361 | #360 | GPT-3.5 Turbo Instruct |
| Quality Rank | #361 | #360 | GPT-3.5 Turbo Instruct |
| Adoption Rank | #361 | #360 | GPT-3.5 Turbo Instruct |
| Parameters | -- | -- | -- |
| Context Window | 16K | 4K | GPT-3.5 Turbo 16k |
| Pricing | $3.00/$4.00/M | $1.50/$2.00/M | -- |
| Signal Scores | |||
| Capabilities | 50 | 33 | GPT-3.5 Turbo 16k |
| Pricing | 96 | 98 | GPT-3.5 Turbo Instruct |
| Context window size | 67 | 57 | GPT-3.5 Turbo 16k |
| Recency | 0 | 0 | GPT-3.5 Turbo 16k |
| Output Capacity | 60 | 60 | GPT-3.5 Turbo 16k |
Our score (0-100) is driven by benchmark performance (90%) from Arena Elo ratings, MMLU, GPQA, HumanEval, SWE-bench, and 15+ standardized evaluations. Capabilities and context window serve as tiebreakers (10%). Learn more about our methodology.
Scores 40/100 (rank #361), placing it in the top -24% of all 290 models tracked.
Scores 40/100 (rank #360), placing it in the top -24% of all 290 models tracked.
With only a 0-point gap, these models are in the same performance tier. The practical difference in output quality is minimal - your choice should depend on pricing, latency requirements, and specific feature needs.
Choose GPT-3.5 Turbo 16k when you need:
- Agentic applications using tool/function calling
Choose GPT-3.5 Turbo Instruct when you need:
- High-volume production workloads where API costs must be minimized
GPT-3.5 Turbo Instruct offers 50% better value per quality point. At 1M tokens/day, you'd spend $52.50/month with GPT-3.5 Turbo Instruct vs $105.00/month with GPT-3.5 Turbo 16k - a $52.50 monthly difference.
Both models have comparable response speeds. For most applications, the latency difference is negligible.
When latency matters most: Interactive chatbots, IDE code completion, real-time translation, and user-facing applications where response time directly impacts experience. For batch processing, background summarization, or offline analysis, latency is less critical.
Code generation & review
Based on overall model capabilities and architecture for coding tasks like generating functions, debugging, and refactoring
Customer support chatbot
Suitable for user-facing chat with competitive response times. GPT-3.5 Turbo Instruct also offers lower per-token costs for high-volume support
Long document analysis
Larger context window (16K tokens) can process longer documents, contracts, and research papers in a single pass
Batch data extraction
Lower output pricing ($2.00/M) reduces costs when processing thousands of records daily
Creative writing & content
Higher overall composite score (40/100) correlates with better nuance, coherence, and style in long-form content
GPT-3.5 Turbo 16k and GPT-3.5 Turbo Instruct are extremely close in overall performance (only 0 points apart). Your best choice depends entirely on which specific strengths matter most for your use case.
By Use Case
Best for Quality
GPT-3.5 Turbo 16k
Marginally better benchmark scores; both are excellent
Best for Cost
GPT-3.5 Turbo Instruct
50% lower pricing; better value at scale
Best for Reliability
GPT-3.5 Turbo 16k
Higher uptime and faster response speeds
Best for Prototyping
GPT-3.5 Turbo 16k
Stronger community support and better developer experience
Best for Production
GPT-3.5 Turbo 16k
Wider enterprise adoption and proven at scale
by OpenAI
- Choose for Quality - Marginally better benchmark scores; both are excellent
- Choose for Reliability - Higher uptime and faster response speeds
- Choose for Prototyping - Stronger community support and better developer experience
- Choose for Production - Wider enterprise adoption and proven at scale
| Capability | GPT-3.5 Turbo 16k | GPT-3.5 Turbo Instruct |
|---|---|---|
| Vision (Image Input) | ||
| Function Callingdiffers | ||
| Streaming | ||
| JSON Mode | ||
| Reasoning | ||
| Web Search | ||
| Image Output |
GPT-3.5 Turbo 16k
OpenAI
GPT-3.5 Turbo Instruct
OpenAI
GPT-3.5 Turbo Instruct saves you $5.10/month
That's 50% cheaper than GPT-3.5 Turbo 16k at 1,000 tokens/request and 100 requests/day.
Assumes 60% input / 40% output token ratio per request. Actual costs may vary based on your usage pattern.
| Parameter | GPT-3.5 Turbo 16k | GPT-3.5 Turbo Instruct |
|---|---|---|
| Context Window | 16K | 4K |
| Max Output Tokens | 4,096 | 4,096 |
| Open Source | No | No |
| Created | Aug 28, 2023 | Sep 28, 2023 |